ph3Job Summary /h3 pThis role is responsible for designing and developing advanced AI/ML solutions to solve complex business problems. The role applies deep technical expertise to build scalable models, data pipelines, and intelligent systems, while ensuring consistency, quality, and alignment with enterprise standards. The role contributes to complex initiatives, collaborates across general teams, and mentors junior team members to drive adoption of data‑driven solutions. /p h3Responsibilities /h3 ul liDemonstrates proficiency in designing, developing, and deploying machine learning models (e.g., regression, classification, ensemble methods) to address complex analytical problems. /li liRepresents the team in cross‑functional engagements with business, engineering, and analytics stakeholders, providing technical leadership in AI solution design and implementation. /li liApplies extensive technical knowledge to develop and maintain scalable data pipelines and ML workflows across modern data platforms (e.g., cloud‑based environments, distributed processing systems). /li liApplies organizational and third‑party technologies to build complex AI‑driven solutions, independently implementing end‑to‑end pipelines from data ingestion to deployment. /li liIntegrates technical expertise with business understanding to deliver impactful insights, collaborating with stakeholders to translate model outputs into actionable outcomes. /li liDesigns, develops, tests, and deploys data models, feature pipelines, and scoring systems ensuring performance, reliability, and scalability. /li liDevelops standards, reusable templates, and best practices for model development, feature engineering, and evaluation to ensure consistency and governance. /li liDefines scope, plans, and deliverables for assigned components, ensuring alignment with project objectives and timelines. /li liApplies advanced subject matter knowledge, contributes to complex projects, and exercises independent judgment in resolving business issues and optimizing solutions.



/li liBuilds strong internal and external working relationships and provides mentoring and guidance to junior team members. /li /ul h3Education Experience Recommended /h3 ul liFour‑year or Graduate Degree in Computer Science, Data Science, Artificial Intelligence, Engineering, or any related discipline; or equivalent work experience. /li liTypically has 5–10 years of experience in machine learning, data science, or software engineering roles, preferably in large‑scale or enterprise environments. /li /ul h3Preferred Certifications /h3 ul liMicrosoft Azure AI Engineer Associate / Data Scientist Associate (preferred) /li liDatabricks or equivalent platform certifications (good to have) /li /ul h3Knowledge Skills /h3 ul liAgile Methodology /li liApplication Development /li liMachine Learning (Supervised Unsupervised) /li liFeature Engineering Model Optimization /li liModel Evaluation (Accuracy, Precision, Recall, F1 Score, ROC‑AUC) /li liPython (Programming Language) /li liSQL (Programming Language) /li liDistributed Computing (e.g., PySpark or similar) /li liData Engineering ETL Pipelines /li liAPI Development Integration /li liAutomation /li liBusiness Process Requirements Analysis /li liDebugging Performance Optimization /li liCloud Platforms (e.g., Azure, AWS, GCP) /li liData Visualization (e.g., Power BI or similar tools) /li liSoftware Development Lifecycle (SDLC) /li /ul h3Cross‑Org Skills /h3 ul liEffective Communication /li liResults Orientation /li liLearning Agility /li liDigital Fluency /li liCustomer Centricity /li /ul h3Impact Scope /h3 pImpacts functional and cross‑functional teams by contributing technical expertise to AI/ML initiatives and supporting enterprise‑scale analytics solutions.



/p h3Complexity /h3 pWorks on complex problems where analysis of situations or data requires an in‑depth evaluation of multiple factors, including technical feasibility, scalability, and business impact. /p h3What We Offer /h3 ul liA truly international experience: Work in a global organization with colleagues from 60+ nationalities, collaborating across cultures and geographies. /li liContinuous growth career development: Multiple internal mobility and career opportunities, supported by HP’s learning platform to keep growing your skills. /li liCompetitive benefits package, including: ul liHybrid work model (home office / office), depending on the role/functions /li liHealth Life insurance /li liTicket Restaurant Vouchers or lunch at reduced prices at our canteen /li liFlexible working hours to support work–life balance /li liHP Flex Program: Kindergarten vouchers Transport Card /li liExclusive HP products offers and discounts for employees, friends and family /li liInclusion belonging at the core: Join our global employee networks such as Women, Pride, Inclusion, NextGen, Sustainability DisAbility, with opportunities to get involved locally. /li liGive back to the community: Participate in volunteering initiatives or join our annual HP Charity Day held onsite. /li liStay active energized: Access our sports center (indoor outdoor) with 25+ coordinated activities. /li liOnsite medical services: Doctor and medical team available for annual checkups, nutrition, oral hygiene, physiotherapy, and general health. /li liCreativity innovation: Enjoy our Printing Happy Hour—from photos to large posters—and hands‑on workshops using the latest printing technologies, from wall covers to 3D printing. /li liEasy commuting: Free parking available or excellent access via nearby train services. /li liWomen Network initiatives: Networking events, STEM promotion, business acumen talks, work–life balance sessions, and future‑skills development. /li /ul /li /ul /p #J-18808-Ljbffr

📌 AI Developer (Barcelona)
🏢 HP
📍 Barcelona